Summary of Harnessing Multi-role Capabilities Of Large Language Models For Open-domain Question Answering, by Hongda Sun et al.
Harnessing Multi-Role Capabilities of Large Language Models for Open-Domain Question Answeringby Hongda Sun, Yuxuan Liu,…
Harnessing Multi-Role Capabilities of Large Language Models for Open-Domain Question Answeringby Hongda Sun, Yuxuan Liu,…
DeepSeek-VL: Towards Real-World Vision-Language Understandingby Haoyu Lu, Wen Liu, Bo Zhang, Bingxuan Wang, Kai Dong,…
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Are Language Models Puzzle Prodigies? Algorithmic Puzzles Unveil Serious Challenges in Multimodal Reasoningby Deepanway Ghosal,…
CLEVR-POC: Reasoning-Intensive Visual Question Answering in Partially Observable Environmentsby Savitha Sam Abraham, Marjan Alirezaie, Luc…
To Generate or to Retrieve? On the Effectiveness of Artificial Contexts for Medical Open-Domain Question…
Brilla AI: AI Contestant for the National Science and Maths Quizby George Boateng, Jonathan Abrefah…
The First Place Solution of WSDM Cup 2024: Leveraging Large Language Models for Conversational Multi-Doc…
A Cognitive Evaluation Benchmark of Image Reasoning and Description for Large Vision-Language Modelsby Xiujie Song,…
Researchy Questions: A Dataset of Multi-Perspective, Decompositional Questions for LLM Web Agentsby Corby Rosset, Ho-Lam…